
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import warnings
warnings.filterwarnings('ignore')


df = pd.read_csv('adult_income.csv', skipinitialspace = True) # Reduce space as some data included spaces before and after
df.head()


df.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 32561 entries, 0 to 32560
Data columns (total 15 columns):
 #   Column          Non-Null Count  Dtype 
---  ------          --------------  ----- 
 0   Age             32561 non-null  int64 
 1   Work-class      32561 non-null  object
 2   fnlwgt          32561 non-null  int64 
 3   Education       32561 non-null  object
 4   Education-num   32561 non-null  int64 
 5   Marital-status  32561 non-null  object
 6   Occupation      32561 non-null  object
 7   Relationship    32561 non-null  object
 8   Race            32561 non-null  object
 9   Sex             32561 non-null  object
 10  Capital-gain    32561 non-null  int64 
 11  Capital-loss    32561 non-null  int64 
 12  Hours-per-week  32561 non-null  int64 
 13  Native-country  32561 non-null  object
 14  Income          32561 non-null  object
dtypes: int64(6), object(9)
memory usage: 3.7+ MB


df.shape

(32561, 15)


# Check duplicate records count
df.duplicated().sum()

24


# Drop duplicated records
df['is_duplicate']= df.duplicated()
df = df[df.is_duplicate.isin([False])]
df.drop(['is_duplicate'], axis=1, inplace=True)
df.shape

# df[df.is_duplicate.isin([True])].sort_values(by=['Age'])

(32537, 15)


# Check number of NaN values in each column
for column in df.columns:
    if df[column].isnull().any(): #if any NaN in the column
        print(f"{column}",df[column].isnull().sum())    #print the column name then the sum of number of NaN values


# Viewing each column's possible values and the count of each value
df_cat = df.select_dtypes(include="object")
for column in df_cat.columns:
    print(df_cat[column].value_counts(dropna=False)) # print the unique values and their frequency of appearing
    print('-'*30)

Private             22673
Self-emp-not-inc     2540
Local-gov            2093
?                    1836
State-gov            1298
Self-emp-inc         1116
Federal-gov           960
Without-pay            14
Never-worked            7
Name: Work-class, dtype: int64
------------------------------
HS-grad         10494
Some-college     7282
Bachelors        5353
Masters          1722
Assoc-voc        1382
11th             1175
Assoc-acdm       1067
10th              933
7th-8th           645
Prof-school       576
9th               514
12th              433
Doctorate         413
5th-6th           332
1st-4th           166
Preschool          50
Name: Education, dtype: int64
------------------------------
Married-civ-spouse       14970
Never-married            10667
Divorced                  4441
Separated                 1025
Widowed                    993
Married-spouse-absent      418
Married-AF-spouse           23
Name: Marital-status, dtype: int64
------------------------------
Prof-specialty       4136
Craft-repair         4094
Exec-managerial      4065
Adm-clerical         3768
Sales                3650
Other-service        3291
Machine-op-inspct    2000
?                    1843
Transport-moving     1597
Handlers-cleaners    1369
Farming-fishing       992
Tech-support          927
Protective-serv       649
Priv-house-serv       147
Armed-Forces            9
Name: Occupation, dtype: int64
------------------------------
Husband           13187
Not-in-family      8292
Own-child          5064
Unmarried          3445
Wife               1568
Other-relative      981
Name: Relationship, dtype: int64
------------------------------
White                 27795
Black                  3122
Asian-Pac-Islander     1038
Amer-Indian-Eskimo      311
Other                   271
Name: Race, dtype: int64
------------------------------
Male      21775
Female    10762
Name: Sex, dtype: int64
------------------------------
United-States                 29153
Mexico                          639
?                               582
Philippines                     198
Germany                         137
Canada                          121
Puerto-Rico                     114
El-Salvador                     106
India                           100
Cuba                             95
England                          90
Jamaica                          81
South                            80
China                            75
Italy                            73
Dominican-Republic               70
Vietnam                          67
Japan                            62
Guatemala                        62
Poland                           60
Columbia                         59
Taiwan                           51
Haiti                            44
Iran                             43
Portugal                         37
Nicaragua                        34
Peru                             31
France                           29
Greece                           29
Ecuador                          28
Ireland                          24
Hong                             20
Cambodia                         19
Trinadad&Tobago                  19
Laos                             18
Thailand                         18
Yugoslavia                       16
Outlying-US(Guam-USVI-etc)       14
Honduras                         13
Hungary                          13
Scotland                         12
Holand-Netherlands                1
Name: Native-country, dtype: int64
------------------------------
<=50K    24698
>50K      7839
Name: Income, dtype: int64
------------------------------


#<=50K -> 0, >50k -> 1
df['Income'] = df['Income'].apply(lambda x: 0 if x=='<=50K' else 1)
df['Income'].value_counts(dropna=False)

0    24698
1     7839
Name: Income, dtype: int64


df.groupby(['Income']).count().plot(kind='pie', y='Sex', autopct='%1.0f%%', figsize=(8,6))

<AxesSubplot:ylabel='Sex'>


# define df_num and df_cat for numerical columns and object columns
df_num = df.select_dtypes(exclude="object") 
df_cat = df.select_dtypes(include="object")
print(f'Numerical variables: {len(df_num.columns)}')
print(f'Categorical variables: {len(df_cat.columns)}')

Numerical variables: 7
Categorical variables: 8


cols = df_num.columns.tolist()
cols.remove('Income')
cols

['Age',
 'fnlwgt',
 'Education-num',
 'Capital-gain',
 'Capital-loss',
 'Hours-per-week']


# Plot all numerical features in box plots - horizontal
for i in cols:
    plt.figure(figsize=(10,0.3))
    sns.boxplot(x=i, data=df_num)

plt.show()


# all data
df.describe().T


# Plot histogram
fig = plt.figure(figsize = (18, 80))
for i, variable in enumerate(cols):
    fig.add_subplot(21, 3, i+1)
    upper_limit = df_num[variable]#.quantile(0.99) #set a upper limit to 99th percentile for better plot display
    dfa = df_num[(df_num[variable] <= upper_limit)]
    dfa.iloc[:, i].hist(bins=20,color='skyblue',alpha=0.99)
    plt.subplots_adjust(hspace=0.3)
    plt.title(variable)
plt.show()


# Plot all numerical features in box plots against target variable
plt.figure(figsize=(18,80))

for i, variable in enumerate(cols):
                    upper_limit = df_num[variable]#.quantile(0.99) #set a upper limit to 99th percentile for better plot display
                    dfa = df_num[(df_num[variable] <= upper_limit)]
                    plt.subplot(21,3,i+1)
                    sns.boxplot(x="Income",y=dfa[variable], data=dfa)
                    plt.tight_layout()
                    plt.title(variable)
plt.show()


# income = <=50K
dfincome0 = df.loc[(df.Income == 0)]
dfincome0.describe().T


# income = >50K
dfincome1 = df.loc[(df.Income == 1)]
dfincome1.describe().T


# Corr matrix
df_selected_num = df[cols]

plt.figure(figsize=(5,5))
sns.heatmap(df_selected_num.corr(),annot=True,fmt='.2f',cmap='rainbow', )
plt.show()


# Pairplots
sns.pairplot(data=df_num, hue="Income", palette="tab10")

<seaborn.axisgrid.PairGrid at 0x17d1163c850>


df_cat.info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 32537 entries, 0 to 32560
Data columns (total 8 columns):
 #   Column          Non-Null Count  Dtype 
---  ------          --------------  ----- 
 0   Work-class      32537 non-null  object
 1   Education       32537 non-null  object
 2   Marital-status  32537 non-null  object
 3   Occupation      32537 non-null  object
 4   Relationship    32537 non-null  object
 5   Race            32537 non-null  object
 6   Sex             32537 non-null  object
 7   Native-country  32537 non-null  object
dtypes: object(8)
memory usage: 3.2+ MB


# Function to plot bar chart:
def bar_chart(x):
    plt.figure(figsize=(8,4))
    ax = sns.countplot(x=x, data=df1, palette='nipy_spectral_r', order=sorted(list(dict.fromkeys(x.tolist())))) #sort xlabel in ascending order to match with stacked bar chart
    plt.ylabel("count", fontsize = 12)
    plt. xticks (rotation= 90)
    plt.legend(bbox_to_anchor=(1.05, 1), loc='upper right', borderaxespad=0)
    plt.show()


col = df_cat.columns.tolist()
for c in col:
    df1=df.dropna(subset=[c], axis=0) #need this line for the 'order=sorted' to work - otherwise some nan would come up and prevent sorting
    bar_chart(df1[c])

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.


# Function to plot stacked bar charts for categorical columns
def stacked_plot(x,flag=True):
    sns.set(palette='nipy_spectral')
    tab1 = pd.crosstab(x,df['Income'],margins=True)
    if flag==True:
        print(tab1)
        print('-'*120)
    tab = pd.crosstab(x,df['Income'],normalize='index')
    tab.plot(kind='bar',stacked=True,figsize=(8,4))
    plt.legend(loc="upper left", bbox_to_anchor=(1,1))
    plt.show()


col = df_cat.columns.tolist()
for c in col:
    stacked_plot(df[c])

Income                0     1    All
Work-class                          
?                  1645   191   1836
Federal-gov         589   371    960
Local-gov          1476   617   2093
Never-worked          7     0      7
Private           17712  4961  22673
Self-emp-inc        494   622   1116
Self-emp-not-inc   1816   724   2540
State-gov           945   353   1298
Without-pay          14     0     14
All               24698  7839  32537
------------------------------------------------------------------------------------------------------------------------

Income            0     1    All
Education                       
10th            871    62    933
11th           1115    60   1175
12th            400    33    433
1st-4th         160     6    166
5th-6th         316    16    332
7th-8th         605    40    645
9th             487    27    514
Assoc-acdm      802   265   1067
Assoc-voc      1021   361   1382
Bachelors      3132  2221   5353
Doctorate       107   306    413
HS-grad        8820  1674  10494
Masters         763   959   1722
Preschool        50     0     50
Prof-school     153   423    576
Some-college   5896  1386   7282
All           24698  7839  32537
------------------------------------------------------------------------------------------------------------------------

Income                     0     1    All
Marital-status                           
Divorced                3978   463   4441
Married-AF-spouse         13    10     23
Married-civ-spouse      8280  6690  14970
Married-spouse-absent    384    34    418
Never-married          10176   491  10667
Separated                959    66   1025
Widowed                  908    85    993
All                    24698  7839  32537
------------------------------------------------------------------------------------------------------------------------

Income                 0     1    All
Occupation                           
?                   1652   191   1843
Adm-clerical        3261   507   3768
Armed-Forces           8     1      9
Craft-repair        3165   929   4094
Exec-managerial     2097  1968   4065
Farming-fishing      877   115    992
Handlers-cleaners   1283    86   1369
Machine-op-inspct   1751   249   2000
Other-service       3154   137   3291
Priv-house-serv      146     1    147
Prof-specialty      2278  1858   4136
Protective-serv      438   211    649
Sales               2667   983   3650
Tech-support         644   283    927
Transport-moving    1277   320   1597
All                24698  7839  32537
------------------------------------------------------------------------------------------------------------------------

Income              0     1    All
Relationship                      
Husband          7271  5916  13187
Not-in-family    7436   856   8292
Other-relative    944    37    981
Own-child        4997    67   5064
Unmarried        3227   218   3445
Wife              823   745   1568
All             24698  7839  32537
------------------------------------------------------------------------------------------------------------------------

Income                  0     1    All
Race                                  
Amer-Indian-Eskimo    275    36    311
Asian-Pac-Islander    762   276   1038
Black                2735   387   3122
Other                 246    25    271
White               20680  7115  27795
All                 24698  7839  32537
------------------------------------------------------------------------------------------------------------------------

Income      0     1    All
Sex                       
Female   9583  1179  10762
Male    15115  6660  21775
All     24698  7839  32537
------------------------------------------------------------------------------------------------------------------------

Income                          0     1    All
Native-country                                
?                             436   146    582
Cambodia                       12     7     19
Canada                         82    39    121
China                          55    20     75
Columbia                       57     2     59
Cuba                           70    25     95
Dominican-Republic             68     2     70
Ecuador                        24     4     28
El-Salvador                    97     9    106
England                        60    30     90
France                         17    12     29
Germany                        93    44    137
Greece                         21     8     29
Guatemala                      59     3     62
Haiti                          40     4     44
Holand-Netherlands              1     0      1
Honduras                       12     1     13
Hong                           14     6     20
Hungary                        10     3     13
India                          60    40    100
Iran                           25    18     43
Ireland                        19     5     24
Italy                          48    25     73
Jamaica                        71    10     81
Japan                          38    24     62
Laos                           16     2     18
Mexico                        606    33    639
Nicaragua                      32     2     34
Outlying-US(Guam-USVI-etc)     14     0     14
Peru                           29     2     31
Philippines                   137    61    198
Poland                         48    12     60
Portugal                       33     4     37
Puerto-Rico                   102    12    114
Scotland                        9     3     12
South                          64    16     80
Taiwan                         31    20     51
Thailand                       15     3     18
Trinadad&Tobago                17     2     19
United-States               21984  7169  29153
Vietnam                        62     5     67
Yugoslavia                     10     6     16
All                         24698  7839  32537
------------------------------------------------------------------------------------------------------------------------


edu_order = ['Preschool', '1st-4th', '5th-6th', '7th-8th', '9th', '10th', '11th', '12th', 'HS-grad', 'Some-college', 
             'Assoc-voc', 'Assoc-acdm', 'Bachelors', 'Masters', 'Prof-school', 'Doctorate']


plt.figure(figsize=(8,4))
ax = sns.countplot(x='Education', data=df, palette='nipy_spectral_r', order=edu_order)
plt.ylabel("count", fontsize = 12)
plt. xticks (rotation= 90)
plt.legend(bbox_to_anchor=(1.05, 1), loc='upper right', borderaxespad=0)
plt.show()

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.


sns.set(palette='nipy_spectral')
tab = pd.crosstab(df['Education'],df['Income'],normalize='index').loc[edu_order]
tab.plot(kind='bar',stacked=True,figsize=(8,4))
plt.legend(loc="upper left", bbox_to_anchor=(1,1))
plt.show()


plt.figure(figsize=(18,6))
sns.set(palette='nipy_spectral', font_scale=1.5)
sns.boxplot(x='Occupation', y=df['Hours-per-week'], data=df, order=sorted(list(dict.fromkeys(df['Occupation'].tolist()))))
plt. xticks (rotation= 15)
plt.tight_layout()
plt.title('Occupation and work hours per week')
plt.show()


plt.figure(figsize=(18,6))
sns.set(palette='nipy_spectral', font_scale=1.5)
sns.boxplot(x='Occupation', y=df['Age'], data=df, order=sorted(list(dict.fromkeys(df['Occupation'].tolist()))))
plt. xticks (rotation= 15)
plt.tight_layout()
plt.title('Occupation and Age')
plt.show()


plt.figure(figsize=(18,6))
sns.set(palette='nipy_spectral', font_scale=1.5)
sns.boxplot(x='Education', y=df['Age'], data=df, order=edu_order)
plt. xticks (rotation= 15)
plt.tight_layout()
plt.title('Education and Age')
plt.show()


plt.figure(figsize=(18,6))
sns.set(palette='nipy_spectral', font_scale=1.5)
sns.boxplot(x='Education',y=df['Education-num'], data=df, order=edu_order)
plt. xticks (rotation= 15)
plt.tight_layout()
plt.title('Education and Education years')
plt.show()


plt.figure(figsize=(18,6))
sns.set(palette='nipy_spectral', font_scale=1.5)
sns.boxplot(x='Occupation',y=df['Education-num'], data=df, order=sorted(list(dict.fromkeys(df['Occupation'].tolist()))))
plt. xticks (rotation= 15)
plt.tight_layout()
plt.title('Occupation and Education years')
plt.show()


plt.figure(figsize=(18,6))
sns.set(palette='nipy_spectral', font_scale=1.5)
sns.boxplot(x='Education',y=df['Capital-loss'], data=df, order=edu_order)
plt. xticks (rotation= 15)
plt.tight_layout()
plt.title('Education and Capital-loss')
plt.show()


df_exclu_99999 = df.loc[~df['Capital-gain'].isin([99999])]
plt.figure(figsize=(18,6))
sns.set(palette='nipy_spectral', font_scale=1.5)
sns.boxplot(x='Education',y=df_exclu_99999['Capital-gain'], data=df_exclu_99999, order=edu_order)
plt. xticks (rotation= 15)
plt.tight_layout()
plt.title('Education and Capital-gain')
plt.show()


plt.figure(figsize=(18,6))
sns.set(palette='nipy_spectral', font_scale=1.5)
sns.boxplot(x='Marital-status',y=df['Age'], data=df, order=sorted(list(dict.fromkeys(df['Marital-status'].tolist()))))
plt. xticks (rotation= 15)
plt.tight_layout()
plt.title('Marital-status and Age')
plt.show()


plt.figure(figsize=(18,6))
sns.set(palette='nipy_spectral', font_scale=1.5)
sns.boxplot(x='Marital-status',y=df['Education-num'], data=df, order=sorted(list(dict.fromkeys(df['Marital-status'].tolist()))))
plt. xticks (rotation= 15)
plt.tight_layout()
plt.title('Marital-status and Education-num')
plt.show()


plt.figure(figsize=(8,5))
sns.set(palette='nipy_spectral', font_scale=1)
sns.boxplot(x='Relationship',y=df['Education-num'], data=df, order=sorted(list(dict.fromkeys(df['Relationship'].tolist()))))
plt. xticks (rotation= 15)
plt.tight_layout()
plt.title('Relationship and Education-num')
plt.show()


plt.figure(figsize=(8,5))
sns.set(palette='nipy_spectral', font_scale=1)
sns.boxplot(x='Relationship',y=df['Hours-per-week'], data=df, order=sorted(list(dict.fromkeys(df['Relationship'].tolist()))))
plt. xticks (rotation= 15)
plt.tight_layout()
plt.title('Relationship and Hours-per-week')
plt.show()


sns.set(palette='Paired')
tab = pd.crosstab(df['Occupation'],df['Sex'],normalize='index')
tab.plot(kind='bar',stacked=True,figsize=(8,4))
plt.legend(loc="upper left", bbox_to_anchor=(1,1))
plt.title('Occupation - proportion by sex')
plt.show()


sns.set(palette='nipy_spectral')
tab = pd.crosstab(df['Occupation'],df['Relationship'],normalize='index')
tab.plot(kind='bar',stacked=True,figsize=(8,4))
plt.legend(loc="upper left", bbox_to_anchor=(1,1))
plt.title('Occupation - proportion by relaionship')
plt.show()


# Drop features
df.drop(['fnlwgt'], axis=1, inplace=True)


cols.remove('fnlwgt')
cols

['Age', 'Education-num', 'Capital-gain', 'Capital-loss', 'Hours-per-week']


# Plot all numerical features in box plots - horizontal
for i in cols:
    plt.figure(figsize=(10,0.3))
    sns.boxplot(x=i, data=df)

plt.show()


# Replace 99999 in capital with 0
df['Capital-gain'].replace(99999,0,inplace=True)


# Plot
plt.figure(figsize=(10,0.3))
sns.boxplot(x='Capital-gain', data=df)

<AxesSubplot:xlabel='Capital-gain'>


# import scaler
from sklearn.preprocessing import StandardScaler

#list for cols to scale
cols_to_scale = ['Capital-gain', 'Capital-loss']

#create and fit scaler
ss = StandardScaler()
ss.fit(df[cols_to_scale])

#scale selected data
df[cols_to_scale] = ss.transform(df[cols_to_scale])

# view updated feature set
df.head()


# Count and list number of unique values in specific column
df['Education'].value_counts(dropna=False)

HS-grad         10494
Some-college     7282
Bachelors        5353
Masters          1722
Assoc-voc        1382
11th             1175
Assoc-acdm       1067
10th              933
7th-8th           645
Prof-school       576
9th               514
12th              433
Doctorate         413
5th-6th           332
1st-4th           166
Preschool          50
Name: Education, dtype: int64


df['Education'].replace(['Preschool','1st-4th','5th-6th', '7th-8th', '9th', '10th', '11th', '12th'],'12th or below',inplace=True)
df['Education'].replace(['Assoc-voc', 'Assoc-acdm'],'Assoc voc or acdm',inplace=True)
df['Education'].value_counts(dropna=False)

HS-grad              10494
Some-college          7282
Bachelors             5353
12th or below         4248
Assoc voc or acdm     2449
Masters               1722
Prof-school            576
Doctorate              413
Name: Education, dtype: int64


# Plot education num in category and hue=Education
sns.set(palette='nipy_spectral')
tab1 = pd.crosstab(df['Education-num'],df['Education'],margins=True)
tab = pd.crosstab(df['Education-num'],df['Education'],normalize='index')
tab.plot(kind='bar',stacked=True,figsize=(8,4))
plt.ylabel("porportion", fontsize = 12)
plt.legend(loc="upper left", bbox_to_anchor=(1,1))
plt.show()


df.drop(['Education'], axis=1, inplace=True)


df['Occupation'].replace(['?', 'Armed-Forces','Priv-house-serv'],'Others',inplace=True)
df['Occupation'].value_counts(dropna=False)

Prof-specialty       4136
Craft-repair         4094
Exec-managerial      4065
Adm-clerical         3768
Sales                3650
Other-service        3291
Machine-op-inspct    2000
Others               1999
Transport-moving     1597
Handlers-cleaners    1369
Farming-fishing       992
Tech-support          927
Protective-serv       649
Name: Occupation, dtype: int64


df['Work-class'].replace(['?', 'Never-worked','Without-pay'],'Others',inplace=True)
df['Work-class'].replace(['Local-gov', 'State-gov'], 'Local or State gov', inplace=True)
df['Work-class'].value_counts(dropna=False)

Private               22673
Local or State gov     3391
Self-emp-not-inc       2540
Others                 1857
Self-emp-inc           1116
Federal-gov             960
Name: Work-class, dtype: int64


df['Marital-status'].replace(['Married-AF-spouse', 'Married-spouse-absent', 'separated', 'Widowed'],'Others',inplace=True)
df['Marital-status'].value_counts(dropna=False)

Married-civ-spouse    14970
Never-married         10667
Divorced               4441
Others                 1434
Separated              1025
Name: Marital-status, dtype: int64


country = ['United-States']
df.loc[~df['Native-country'].isin(country), 'Native-country']  = 'Others'
df['Native-country'].value_counts(dropna=False)

United-States    29153
Others            3384
Name: Native-country, dtype: int64


df['Race'].replace(['Asian-Pac-Islander', 'Other', 'Amer-Indian-Eskimo'],'Others',inplace=True)
df['Race'].value_counts(dropna=False)

White     27795
Black      3122
Others     1620
Name: Race, dtype: int64


c = df_cat.columns.to_list()
c.remove('Education')
c

['Work-class',
 'Marital-status',
 'Occupation',
 'Relationship',
 'Race',
 'Sex',
 'Native-country']


#one-hot encoding
df = pd.get_dummies(df, columns = c)


df.info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 32537 entries, 0 to 32560
Data columns (total 43 columns):
 #   Column                             Non-Null Count  Dtype  
---  ------                             --------------  -----  
 0   Age                                32537 non-null  int64  
 1   Education-num                      32537 non-null  int64  
 2   Capital-gain                       32537 non-null  float64
 3   Capital-loss                       32537 non-null  float64
 4   Hours-per-week                     32537 non-null  int64  
 5   Income                             32537 non-null  int64  
 6   Work-class_Federal-gov             32537 non-null  uint8  
 7   Work-class_Local or State gov      32537 non-null  uint8  
 8   Work-class_Others                  32537 non-null  uint8  
 9   Work-class_Private                 32537 non-null  uint8  
 10  Work-class_Self-emp-inc            32537 non-null  uint8  
 11  Work-class_Self-emp-not-inc        32537 non-null  uint8  
 12  Marital-status_Divorced            32537 non-null  uint8  
 13  Marital-status_Married-civ-spouse  32537 non-null  uint8  
 14  Marital-status_Never-married       32537 non-null  uint8  
 15  Marital-status_Others              32537 non-null  uint8  
 16  Marital-status_Separated           32537 non-null  uint8  
 17  Occupation_Adm-clerical            32537 non-null  uint8  
 18  Occupation_Craft-repair            32537 non-null  uint8  
 19  Occupation_Exec-managerial         32537 non-null  uint8  
 20  Occupation_Farming-fishing         32537 non-null  uint8  
 21  Occupation_Handlers-cleaners       32537 non-null  uint8  
 22  Occupation_Machine-op-inspct       32537 non-null  uint8  
 23  Occupation_Other-service           32537 non-null  uint8  
 24  Occupation_Others                  32537 non-null  uint8  
 25  Occupation_Prof-specialty          32537 non-null  uint8  
 26  Occupation_Protective-serv         32537 non-null  uint8  
 27  Occupation_Sales                   32537 non-null  uint8  
 28  Occupation_Tech-support            32537 non-null  uint8  
 29  Occupation_Transport-moving        32537 non-null  uint8  
 30  Relationship_Husband               32537 non-null  uint8  
 31  Relationship_Not-in-family         32537 non-null  uint8  
 32  Relationship_Other-relative        32537 non-null  uint8  
 33  Relationship_Own-child             32537 non-null  uint8  
 34  Relationship_Unmarried             32537 non-null  uint8  
 35  Relationship_Wife                  32537 non-null  uint8  
 36  Race_Black                         32537 non-null  uint8  
 37  Race_Others                        32537 non-null  uint8  
 38  Race_White                         32537 non-null  uint8  
 39  Sex_Female                         32537 non-null  uint8  
 40  Sex_Male                           32537 non-null  uint8  
 41  Native-country_Others              32537 non-null  uint8  
 42  Native-country_United-States       32537 non-null  uint8  
dtypes: float64(2), int64(4), uint8(37)
memory usage: 3.9 MB


from sklearn.model_selection import GridSearchCV, RandomizedSearchCV, RepeatedStratifiedKFold, StratifiedKFold
from sklearn.metrics import f1_score, accuracy_score, recall_score, precision_score, roc_auc_score, roc_curve, auc, confusion_matrix, ConfusionMatrixDisplay, precision_recall_curve, classification_report


from sklearn.model_selection import train_test_split
X = df.drop('Income', axis=1)
y = df['Income']
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=10, stratify=y)


from imblearn.over_sampling import SMOTE
from imblearn.under_sampling import RandomUnderSampler 
from imblearn.over_sampling import RandomOverSampler 

# Apply the random under-sampling
rus = RandomUnderSampler(random_state = 0)
X_RUS, y_RUS = rus.fit_resample(X_train, y_train)

# Apply the random over-sampling
ros = RandomOverSampler(random_state = 0)
X_ROS, y_ROS = ros.fit_resample(X_train, y_train)

# Apply regular SMOTE
sm = SMOTE(random_state = 0)
X_SMOTE, y_SMOTE = sm.fit_resample(X_train, y_train)


from sklearn.linear_model import LogisticRegression


print('without dealing with imbalanced dataset:')
LR = LogisticRegression(max_iter=5000)
LR.fit(X_train, y_train)

print(classification_report(y_test, LR.predict(X_test)))

LR_proba = LR.predict_proba(X_test)
tpr, fpr, _ = roc_curve(y_test, LR_proba[:, 1])
print('test auc:', auc(tpr, fpr))

without dealing with imbalanced dataset:
              precision    recall  f1-score   support

           0       0.88      0.93      0.90      7410
           1       0.73      0.60      0.66      2352

    accuracy                           0.85      9762
   macro avg       0.80      0.76      0.78      9762
weighted avg       0.84      0.85      0.84      9762

test auc: 0.9041771668181442


print('with class_weight = "balanced":')
LR_weight = LogisticRegression(class_weight = 'balanced', max_iter=5000)
LR_weight.fit(X_train, y_train)

print(classification_report(y_test, LR_weight.predict(X_test)))

LR_weight_proba = LR_weight.predict_proba(X_test)
tpr, fpr, _ = roc_curve(y_test, LR_weight_proba[:, 1])
print('test auc:', auc(tpr, fpr))

with class_weight = "balanced":
              precision    recall  f1-score   support

           0       0.94      0.79      0.86      7410
           1       0.56      0.85      0.68      2352

    accuracy                           0.80      9762
   macro avg       0.75      0.82      0.77      9762
weighted avg       0.85      0.80      0.82      9762

test auc: 0.9041149118216787


print('SMOTE:')
LR_SMOTE = LogisticRegression(max_iter=5000)
LR_SMOTE.fit(X_SMOTE, y_SMOTE)

print(classification_report(y_test, LR_SMOTE.predict(X_test)))

LR_SMOTE_proba = LR_SMOTE.predict_proba(X_test)
tpr, fpr, _ = roc_curve(y_test, LR_SMOTE_proba[:, 1])
print('test auc:', auc(tpr, fpr))

SMOTE:
              precision    recall  f1-score   support

           0       0.90      0.88      0.89      7410
           1       0.65      0.70      0.67      2352

    accuracy                           0.84      9762
   macro avg       0.78      0.79      0.78      9762
weighted avg       0.84      0.84      0.84      9762

test auc: 0.9012615100021115


print('ROS:')
LR_ROS = LogisticRegression(max_iter=5000)
LR_ROS.fit(X_ROS, y_ROS)

print(classification_report(y_test, LR_ROS.predict(X_test)))

LR_ROS_proba = LR_ROS.predict_proba(X_test)
tpr, fpr, _ = roc_curve(y_test, LR_ROS_proba[:, 1])
print('test auc:', auc(tpr, fpr))

ROS:
              precision    recall  f1-score   support

           0       0.94      0.79      0.86      7410
           1       0.56      0.84      0.67      2352

    accuracy                           0.80      9762
   macro avg       0.75      0.82      0.77      9762
weighted avg       0.85      0.80      0.81      9762

test auc: 0.904058222479275


print('RUS:')
LR_RUS = LogisticRegression(max_iter=5000)
LR_RUS.fit(X_RUS, y_RUS)

print(classification_report(y_test, LR_RUS.predict(X_test)))

LR_RUS_proba = LR_RUS.predict_proba(X_test)
tpr, fpr, _ = roc_curve(y_test, LR_RUS_proba[:, 1])
print('test auc:', auc(tpr, fpr))

RUS:
              precision    recall  f1-score   support

           0       0.94      0.79      0.86      7410
           1       0.56      0.84      0.68      2352

    accuracy                           0.80      9762
   macro avg       0.75      0.82      0.77      9762
weighted avg       0.85      0.80      0.82      9762

test auc: 0.9038339897362453


from sklearn.model_selection import train_test_split
X = df.drop('Income', axis=1)
y = df['Income']
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=3, stratify=y)

# Check class imbalance in set
print('Train subscribe class = {}'.format(sum(y_train == 1)))
print('Train non subscribe class = {}'.format(len(y_train) - sum(y_train == 1)))
print('Test subscribe class = {}'.format(sum(y_test == 1)))
print('Test non subscribe class = {}'.format(len(y_test) - sum(y_test == 1)))

Train subscribe class = 5487
Train non subscribe class = 17288
Test subscribe class = 2352
Test non subscribe class = 7410


def classificationreport_train(model):
    y_train_pred = model.predict(X_train)
    print(classification_report(y_train, y_train_pred))


def classificationreport_test(model):
    y_test_pred = model.predict(X_test)
    print(classification_report(y_test, y_test_pred))


def confusionmatrix(model):
    y_pred = model.predict(X_test)
    cm = confusion_matrix(y_test, y_pred, labels=model.classes_)
    disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=model.classes_)
    disp.plot()
plt.show()


def plotroc(model):
    # Calculate class probabilities, generate ROC curve, and compute AUC
    y_proba=model.predict_proba(X_test)[:,1]
    fpr, tpr, thresholds = roc_curve(y_test, y_proba)
    model_roc_auc = roc_auc_score(y_test, y_proba)

    # Plot ROC curve
    plt.figure(figsize=(5, 3))
    plt.plot(fpr, tpr, label='Classifier (area = %0.2f)' % model_roc_auc)

    # Plot Base Rate ROC
    plt.plot([0,1], [0,1],label='Baseline', linestyle='--')
    plt.xlim([0.0, 1.0])
    plt.ylim([0.0, 1.0])
    plt.ylabel('True Positive Rate')
    plt.xlabel('False Positive Rate')
    plt.title('ROC Curve',fontsize = "12")
    plt.legend(loc="lower right")
    plt.show()


%%time
param_grid = {'C': [0.01, 0.1, 0.5, 1, 10, 100]}
clf = LogisticRegression(penalty='l2', solver='lbfgs', max_iter=5000, class_weight='balanced')
#skf = StratifiedKFold(n_splits = 5)

clf_cv = GridSearchCV(clf, param_grid, cv = 5, scoring = 'roc_auc', n_jobs = -1)
clf_cv.fit(X_train, y_train)

# Print the best parameters and score
print("Best CV parameters: {}".format(clf_cv.best_params_)) 
print("Best score: {}".format(clf_cv.best_score_))

Best CV parameters: {'C': 0.5}
Best score: 0.9046157665169584
Wall time: 35.7 s


# Set the clf to the best combination of parameters
lr_estimator = clf_cv.best_estimator_

# Fit the best algorithm to the data
lr_estimator.fit(X_train,y_train)

LogisticRegression(C=0.5, class_weight='balanced', max_iter=5000)


log_odds = lr_estimator.coef_[0]
pd.DataFrame(log_odds, 
             X_test.columns, 
             columns=['coef'])\
            .sort_values(by='coef', ascending=False)


print('Train score:')
classificationreport_train(lr_estimator)
print('Test score:')
classificationreport_test(lr_estimator)
plotroc(lr_estimator)

Train score:
              precision    recall  f1-score   support

           0       0.94      0.80      0.86     17288
           1       0.57      0.85      0.68      5487

    accuracy                           0.81     22775
   macro avg       0.76      0.82      0.77     22775
weighted avg       0.85      0.81      0.82     22775

Test score:
              precision    recall  f1-score   support

           0       0.94      0.79      0.86      7410
           1       0.56      0.84      0.67      2352

    accuracy                           0.80      9762
   macro avg       0.75      0.82      0.77      9762
weighted avg       0.85      0.80      0.82      9762


from sklearn.tree import DecisionTreeClassifier, plot_tree, export_text


%%time
params = {'max_depth': [4,6,8,10,15],
          'criterion':['entropy', 'gini']}

clf_tree = DecisionTreeClassifier(class_weight='balanced', min_samples_split=2, min_samples_leaf=1, max_leaf_nodes=None)

clf_tree_cv = GridSearchCV(estimator=clf_tree, param_grid=params, scoring='roc_auc', cv=5) 
clf_tree_cv.fit(X_train, y_train)

# Print the best parameters and score
print("Best cv parameters: {}".format(clf_tree_cv.best_params_)) 
print("Best score: {}".format(clf_tree_cv.best_score_))

Best cv parameters: {'criterion': 'entropy', 'max_depth': 8}
Best score: 0.8964554678536407
Wall time: 3.65 s


# Set the clf to the best combination of parameters
dtc = clf_tree_cv.best_estimator_

# Fit the best algorithm to the data 
dtc.fit(X_train,y_train)

DecisionTreeClassifier(class_weight='balanced', criterion='entropy',
                       max_depth=8)


print('Train score:')
classificationreport_train(dtc)
print('Test score:')
classificationreport_test(dtc)
plotroc(dtc)

Train score:
              precision    recall  f1-score   support

           0       0.95      0.79      0.86     17288
           1       0.57      0.88      0.69      5487

    accuracy                           0.81     22775
   macro avg       0.76      0.83      0.78     22775
weighted avg       0.86      0.81      0.82     22775

Test score:
              precision    recall  f1-score   support

           0       0.95      0.77      0.85      7410
           1       0.54      0.86      0.67      2352

    accuracy                           0.79      9762
   macro avg       0.75      0.82      0.76      9762
weighted avg       0.85      0.79      0.81      9762


tree_rules = export_text(dtc, feature_names=list(X_train.columns))
print(tree_rules)

|--- Marital-status_Married-civ-spouse <= 0.50
|   |--- Capital-gain <= 2.54
|   |   |--- Education-num <= 12.50
|   |   |   |--- Age <= 28.50
|   |   |   |   |--- Hours-per-week <= 49.50
|   |   |   |   |   |--- Relationship_Husband <= 0.50
|   |   |   |   |   |   |--- Age <= 20.50
|   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |--- Age >  20.50
|   |   |   |   |   |   |   |--- Occupation_Protective-serv <= 0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Occupation_Protective-serv >  0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |--- Relationship_Husband >  0.50
|   |   |   |   |   |   |--- class: 1
|   |   |   |   |--- Hours-per-week >  49.50
|   |   |   |   |   |--- Occupation_Exec-managerial <= 0.50
|   |   |   |   |   |   |--- Race_White <= 0.50
|   |   |   |   |   |   |   |--- Work-class_Private <= 0.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Work-class_Private >  0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |--- Race_White >  0.50
|   |   |   |   |   |   |   |--- Occupation_Other-service <= 0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Occupation_Other-service >  0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |--- Occupation_Exec-managerial >  0.50
|   |   |   |   |   |   |--- Hours-per-week <= 57.50
|   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |--- Hours-per-week >  57.50
|   |   |   |   |   |   |   |--- Sex_Male <= 0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Sex_Male >  0.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |--- Age >  28.50
|   |   |   |   |--- Hours-per-week <= 40.50
|   |   |   |   |   |--- Occupation_Other-service <= 0.50
|   |   |   |   |   |   |--- Capital-loss <= 5.29
|   |   |   |   |   |   |   |--- Occupation_Exec-managerial <= 0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Occupation_Exec-managerial >  0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |--- Capital-loss >  5.29
|   |   |   |   |   |   |   |--- Age <= 58.00
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Age >  58.00
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |--- Occupation_Other-service >  0.50
|   |   |   |   |   |   |--- Work-class_Federal-gov <= 0.50
|   |   |   |   |   |   |   |--- Race_Others <= 0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Race_Others >  0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |--- Work-class_Federal-gov >  0.50
|   |   |   |   |   |   |   |--- Age <= 30.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Age >  30.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |--- Hours-per-week >  40.50
|   |   |   |   |   |--- Capital-loss <= 5.32
|   |   |   |   |   |   |--- Age <= 39.50
|   |   |   |   |   |   |   |--- Relationship_Own-child <= 0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Relationship_Own-child >  0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |--- Age >  39.50
|   |   |   |   |   |   |   |--- Education-num <= 6.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Education-num >  6.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |--- Capital-loss >  5.32
|   |   |   |   |   |   |--- Age <= 35.50
|   |   |   |   |   |   |   |--- Education-num <= 10.00
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Education-num >  10.00
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |--- Age >  35.50
|   |   |   |   |   |   |   |--- Occupation_Sales <= 0.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Occupation_Sales >  0.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |--- Education-num >  12.50
|   |   |   |--- Age <= 28.50
|   |   |   |   |--- Hours-per-week <= 39.50
|   |   |   |   |   |--- class: 0
|   |   |   |   |--- Hours-per-week >  39.50
|   |   |   |   |   |--- Capital-loss <= 3.59
|   |   |   |   |   |   |--- Hours-per-week <= 53.50
|   |   |   |   |   |   |   |--- Relationship_Wife <= 0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Relationship_Wife >  0.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |--- Hours-per-week >  53.50
|   |   |   |   |   |   |   |--- Work-class_Private <= 0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Work-class_Private >  0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |--- Capital-loss >  3.59
|   |   |   |   |   |   |--- Relationship_Not-in-family <= 0.50
|   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |--- Relationship_Not-in-family >  0.50
|   |   |   |   |   |   |   |--- Occupation_Exec-managerial <= 0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Occupation_Exec-managerial >  0.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |--- Age >  28.50
|   |   |   |   |--- Hours-per-week <= 43.50
|   |   |   |   |   |--- Education-num <= 14.50
|   |   |   |   |   |   |--- Age <= 34.50
|   |   |   |   |   |   |   |--- Work-class_Local or State gov <= 0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Work-class_Local or State gov >  0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |--- Age >  34.50
|   |   |   |   |   |   |   |--- Capital-loss <= 5.32
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Capital-loss >  5.32
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |--- Education-num >  14.50
|   |   |   |   |   |   |--- Age <= 31.50
|   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |--- Age >  31.50
|   |   |   |   |   |   |   |--- Sex_Female <= 0.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Sex_Female >  0.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |--- Hours-per-week >  43.50
|   |   |   |   |   |--- Education-num <= 13.50
|   |   |   |   |   |   |--- Work-class_Local or State gov <= 0.50
|   |   |   |   |   |   |   |--- Capital-loss <= 5.07
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Capital-loss >  5.07
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |--- Work-class_Local or State gov >  0.50
|   |   |   |   |   |   |   |--- Hours-per-week <= 53.00
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Hours-per-week >  53.00
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |--- Education-num >  13.50
|   |   |   |   |   |   |--- Occupation_Prof-specialty <= 0.50
|   |   |   |   |   |   |   |--- Age <= 40.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Age >  40.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |--- Occupation_Prof-specialty >  0.50
|   |   |   |   |   |   |   |--- Work-class_Local or State gov <= 0.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Work-class_Local or State gov >  0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |--- Capital-gain >  2.54
|   |   |--- Capital-gain <= 11.89
|   |   |   |--- Capital-gain <= 3.02
|   |   |   |   |--- Education-num <= 11.50
|   |   |   |   |   |--- class: 0
|   |   |   |   |--- Education-num >  11.50
|   |   |   |   |   |--- class: 1
|   |   |   |--- Capital-gain >  3.02
|   |   |   |   |--- class: 1
|   |   |--- Capital-gain >  11.89
|   |   |   |--- class: 0
|--- Marital-status_Married-civ-spouse >  0.50
|   |--- Education-num <= 12.50
|   |   |--- Capital-gain <= 1.76
|   |   |   |--- Education-num <= 7.50
|   |   |   |   |--- Age <= 35.50
|   |   |   |   |   |--- Age <= 25.50
|   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |--- Age >  25.50
|   |   |   |   |   |   |--- Occupation_Tech-support <= 0.50
|   |   |   |   |   |   |   |--- Age <= 28.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Age >  28.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |--- Occupation_Tech-support >  0.50
|   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |--- Age >  35.50
|   |   |   |   |   |--- Capital-loss <= 4.23
|   |   |   |   |   |   |--- Occupation_Exec-managerial <= 0.50
|   |   |   |   |   |   |   |--- Age <= 66.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Age >  66.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |--- Occupation_Exec-managerial >  0.50
|   |   |   |   |   |   |   |--- Work-class_Self-emp-inc <= 0.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Work-class_Self-emp-inc >  0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |--- Capital-loss >  4.23
|   |   |   |   |   |   |--- Capital-loss <= 4.77
|   |   |   |   |   |   |   |--- Occupation_Transport-moving <= 0.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Occupation_Transport-moving >  0.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |--- Capital-loss >  4.77
|   |   |   |   |   |   |   |--- class: 0
|   |   |   |--- Education-num >  7.50
|   |   |   |   |--- Age <= 35.50
|   |   |   |   |   |--- Age <= 24.50
|   |   |   |   |   |   |--- Hours-per-week <= 44.50
|   |   |   |   |   |   |   |--- Capital-gain <= 1.39
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Capital-gain >  1.39
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |--- Hours-per-week >  44.50
|   |   |   |   |   |   |   |--- Occupation_Transport-moving <= 0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Occupation_Transport-moving >  0.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |--- Age >  24.50
|   |   |   |   |   |   |--- Education-num <= 9.50
|   |   |   |   |   |   |   |--- Capital-loss <= 4.23
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Capital-loss >  4.23
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |--- Education-num >  9.50
|   |   |   |   |   |   |   |--- Capital-loss <= 4.63
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Capital-loss >  4.63
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |--- Age >  35.50
|   |   |   |   |   |--- Hours-per-week <= 34.50
|   |   |   |   |   |   |--- Sex_Male <= 0.50
|   |   |   |   |   |   |   |--- Occupation_Other-service <= 0.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Occupation_Other-service >  0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |--- Sex_Male >  0.50
|   |   |   |   |   |   |   |--- Education-num <= 9.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Education-num >  9.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |--- Hours-per-week >  34.50
|   |   |   |   |   |   |--- Capital-loss <= 4.21
|   |   |   |   |   |   |   |--- Education-num <= 9.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Education-num >  9.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |--- Capital-loss >  4.21
|   |   |   |   |   |   |   |--- Capital-loss <= 4.72
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Capital-loss >  4.72
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |--- Capital-gain >  1.76
|   |   |   |--- Age <= 60.50
|   |   |   |   |--- class: 1
|   |   |   |--- Age >  60.50
|   |   |   |   |--- Hours-per-week <= 46.50
|   |   |   |   |   |--- Capital-gain <= 8.01
|   |   |   |   |   |   |--- Age <= 69.50
|   |   |   |   |   |   |   |--- Race_Black <= 0.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Race_Black >  0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |--- Age >  69.50
|   |   |   |   |   |   |   |--- Education-num <= 9.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Education-num >  9.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |--- Capital-gain >  8.01
|   |   |   |   |   |   |--- class: 0
|   |   |   |   |--- Hours-per-week >  46.50
|   |   |   |   |   |--- class: 1
|   |--- Education-num >  12.50
|   |   |--- Capital-gain <= 1.76
|   |   |   |--- Capital-loss <= 4.23
|   |   |   |   |--- Hours-per-week <= 31.00
|   |   |   |   |   |--- Relationship_Wife <= 0.50
|   |   |   |   |   |   |--- Age <= 29.50
|   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |--- Age >  29.50
|   |   |   |   |   |   |   |--- Age <= 67.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Age >  67.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |--- Relationship_Wife >  0.50
|   |   |   |   |   |   |--- Age <= 35.50
|   |   |   |   |   |   |   |--- Work-class_Private <= 0.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Work-class_Private >  0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |--- Age >  35.50
|   |   |   |   |   |   |   |--- Age <= 53.00
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Age >  53.00
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |--- Hours-per-week >  31.00
|   |   |   |   |   |--- Capital-gain <= 0.99
|   |   |   |   |   |   |--- Age <= 36.50
|   |   |   |   |   |   |   |--- Age <= 24.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |   |--- Age >  24.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |--- Age >  36.50
|   |   |   |   |   |   |   |--- Occupation_Other-service <= 0.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Occupation_Other-service >  0.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |--- Capital-gain >  0.99
|   |   |   |   |   |   |--- Capital-gain <= 1.42
|   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |   |--- Capital-gain >  1.42
|   |   |   |   |   |   |   |--- Capital-gain <= 1.51
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Capital-gain >  1.51
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |--- Capital-loss >  4.23
|   |   |   |   |--- Capital-loss <= 4.72
|   |   |   |   |   |--- Age <= 28.50
|   |   |   |   |   |   |--- Sex_Female <= 0.50
|   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |--- Sex_Female >  0.50
|   |   |   |   |   |   |   |--- Education-num <= 13.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Education-num >  13.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |--- Age >  28.50
|   |   |   |   |   |   |--- Work-class_Federal-gov <= 0.50
|   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |--- Work-class_Federal-gov >  0.50
|   |   |   |   |   |   |   |--- Age <= 46.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Age >  46.50
|   |   |   |   |   |   |   |   |--- class: 0
|   |   |   |   |--- Capital-loss >  4.72
|   |   |   |   |   |--- Capital-loss <= 5.16
|   |   |   |   |   |   |--- class: 0
|   |   |   |   |   |--- Capital-loss >  5.16
|   |   |   |   |   |   |--- Capital-loss <= 5.54
|   |   |   |   |   |   |   |--- Age <= 64.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |   |--- Age >  64.50
|   |   |   |   |   |   |   |   |--- class: 1
|   |   |   |   |   |   |--- Capital-loss >  5.54
|   |   |   |   |   |   |   |--- class: 1
|   |   |--- Capital-gain >  1.76
|   |   |   |--- Capital-gain <= 11.78
|   |   |   |   |--- class: 1
|   |   |   |--- Capital-gain >  11.78
|   |   |   |   |--- class: 0


fn = X_train.columns.values
cn = ['0','1']
plt.figure(figsize = (15,6))
plot_tree(dtc, max_depth = 3, feature_names = fn, class_names = cn, filled = False, fontsize=10)

[Text(0.49107142857142855, 0.9, 'Marital-status_Married-civ-spouse <= 0.5\nentropy = 1.0\nsamples = 22775\nvalue = [11387.5, 11387.5]\nclass = 0'),
 Text(0.26785714285714285, 0.7, 'Capital-gain <= 2.537\nentropy = 0.69\nsamples = 12324\nvalue = [7573.004, 1716.323]\nclass = 0'),
 Text(0.14285714285714285, 0.5, 'Education-num <= 12.5\nentropy = 0.601\nsamples = 12113\nvalue = [7567.075, 1297.1]\nclass = 0'),
 Text(0.07142857142857142, 0.3, 'Age <= 28.5\nentropy = 0.386\nsamples = 9704\nvalue = [6230.586, 508.463]\nclass = 0'),
 Text(0.03571428571428571, 0.1, '\n  (...)  \n'),
 Text(0.10714285714285714, 0.1, '\n  (...)  \n'),
 Text(0.21428571428571427, 0.3, 'Age <= 28.5\nentropy = 0.952\nsamples = 2409\nvalue = [1336.49, 788.637]\nclass = 0'),
 Text(0.17857142857142858, 0.1, '\n  (...)  \n'),
 Text(0.25, 0.1, '\n  (...)  \n'),
 Text(0.39285714285714285, 0.5, 'Capital-gain <= 11.886\nentropy = 0.106\nsamples = 211\nvalue = [5.928, 419.223]\nclass = 1'),
 Text(0.35714285714285715, 0.3, 'Capital-gain <= 3.016\nentropy = 0.066\nsamples = 207\nvalue = [3.293, 419.223]\nclass = 1'),
 Text(0.32142857142857145, 0.1, '\n  (...)  \n'),
 Text(0.39285714285714285, 0.1, '\n  (...)  \n'),
 Text(0.42857142857142855, 0.3, 'entropy = -0.0\nsamples = 4\nvalue = [2.635, 0.0]\nclass = 0'),
 Text(0.7142857142857143, 0.7, 'Education-num <= 12.5\nentropy = 0.859\nsamples = 10451\nvalue = [3814.496, 9671.177]\nclass = 1'),
 Text(0.5714285714285714, 0.5, 'Capital-gain <= 1.763\nentropy = 0.965\nsamples = 7359\nvalue = [3238.139, 5070.104]\nclass = 1'),
 Text(0.5, 0.3, 'Education-num <= 7.5\nentropy = 0.984\nsamples = 7004\nvalue = [3232.87, 4349.954]\nclass = 1'),
 Text(0.4642857142857143, 0.1, '\n  (...)  \n'),
 Text(0.5357142857142857, 0.1, '\n  (...)  \n'),
 Text(0.6428571428571429, 0.3, 'Age <= 60.5\nentropy = 0.062\nsamples = 355\nvalue = [5.27, 720.15]\nclass = 1'),
 Text(0.6071428571428571, 0.1, '\n  (...)  \n'),
 Text(0.6785714285714286, 0.1, '\n  (...)  \n'),
 Text(0.8571428571428571, 0.5, 'Capital-gain <= 1.763\nentropy = 0.504\nsamples = 3092\nvalue = [576.357, 4601.073]\nclass = 1'),
 Text(0.7857142857142857, 0.3, 'Capital-loss <= 4.234\nentropy = 0.563\nsamples = 2695\nvalue = [575.698, 3779.23]\nclass = 1'),
 Text(0.75, 0.1, '\n  (...)  \n'),
 Text(0.8214285714285714, 0.1, '\n  (...)  \n'),
 Text(0.9285714285714286, 0.3, 'Capital-gain <= 11.776\nentropy = 0.009\nsamples = 397\nvalue = [0.659, 821.843]\nclass = 1'),
 Text(0.8928571428571429, 0.1, '\n  (...)  \n'),
 Text(0.9642857142857143, 0.1, '\n  (...)  \n')]


from sklearn.ensemble import RandomForestClassifier


%%time
params = {'max_features': [None, 'sqrt', 0.33, 0.5],
          'max_depth':[6,8,10,15],
          'criterion':['entropy', 'gini']}

rf = RandomForestClassifier(n_estimators=100, bootstrap=True, max_samples=None, 
                            min_samples_split=2, min_samples_leaf=1, max_leaf_nodes=None,
                            class_weight='balanced', n_jobs=-1)

rf_cv = GridSearchCV(estimator=rf, param_grid=params, scoring='roc_auc', cv=5) 
rf_cv.fit(X_train, y_train)

# Print the best parameters and score
print("Best cv parameters: {}".format(rf_cv.best_params_)) 
print("Best score: {}".format(rf_cv.best_score_))

Best cv parameters: {'criterion': 'entropy', 'max_depth': 15, 'max_features': 0.33}
Best score: 0.9164070508367719
Wall time: 2min 6s


rfmodel = rf_cv.best_estimator_

# Fit the best algorithm to the data 
rfmodel.fit(X_train,y_train)

RandomForestClassifier(class_weight='balanced', criterion='entropy',
                       max_depth=15, max_features=0.33, n_jobs=-1)


print('Train score:')
classificationreport_train(rfmodel)
print('Test score:')
classificationreport_test(rfmodel)
plotroc(rfmodel)

Train score:
              precision    recall  f1-score   support

           0       0.97      0.86      0.91     17288
           1       0.68      0.93      0.78      5487

    accuracy                           0.88     22775
   macro avg       0.83      0.89      0.85     22775
weighted avg       0.90      0.88      0.88     22775

Test score:
              precision    recall  f1-score   support

           0       0.94      0.83      0.88      7410
           1       0.60      0.82      0.69      2352

    accuracy                           0.83      9762
   macro avg       0.77      0.82      0.79      9762
weighted avg       0.86      0.83      0.83      9762


from xgboost import XGBClassifier


#Train a model using all default parameters in XGBoost
#tree: max_depth (default=6), min_child_weight(default=1), gamma(min_split_loss, default=0), subsample(default=1), colsample_bytree(default=1)
#regularization: lambda (L2, default=1), alpha (L1, default=0)
#learning rate (default=0.3)

xgb0 = XGBClassifier(seed=20)
xgb0.fit(X_train, y_train)
print('Train score:')
classificationreport_train(xgb0)
print('Test score:')
classificationreport_test(xgb0)
plotroc(xgb0)

[17:10:19] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
Train score:
              precision    recall  f1-score   support

           0       0.92      0.95      0.93     17288
           1       0.83      0.73      0.77      5487

    accuracy                           0.90     22775
   macro avg       0.87      0.84      0.85     22775
weighted avg       0.90      0.90      0.90     22775

Test score:
              precision    recall  f1-score   support

           0       0.90      0.94      0.91      7410
           1       0.76      0.65      0.70      2352

    accuracy                           0.87      9762
   macro avg       0.83      0.80      0.81      9762
weighted avg       0.86      0.87      0.86      9762


#tree: max_depth (default=6), min_child_weight(default=1), gamma(min_split_loss, default=0), subsample(default=1), colsample_bytree(default=1)
#regularization: lambda (L2, default=1), alpha (L1, default=0)
#learning rate (default=0.3)
#scale_pos_weight - Control the balance of positive and negative weights, useful for unbalanced classes. A typical value to consider: sum(negative instances) / sum(positive instances). 

params = {'n_estimators': [100,200],
          'max_depth': [6,10],
          'subsample': [0.5,0.8,1],
          'colsample_bytree': [0.5,0.8,1],
          'learning_rate': [0.1,0.3]}

xgb = XGBClassifier(min_child_weight=1, gamma=0, reg_alpha=0, reg_lambda=1, objective='binary:logistic', scale_pos_weight=1, seed=20)

xgb_cv = GridSearchCV(estimator=xgb, param_grid=params, scoring='roc_auc', cv=5) 
xgb_cv.fit(X_train, y_train)

# Print the best parameters and score
print("Best cv parameters: {}".format(xgb_cv.best_params_)) 
print("Best score: {}".format(xgb_cv.best_score_))

[17:10:21] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:22] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:23] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:24] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:25] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:26] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:27] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:28] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:29] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:30] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:31] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:32] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:33] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:33] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:34] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:35] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:37] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:39] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:41] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:43] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:45] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:47] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:49] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:51] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:53] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:55] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:56] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:58] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:10:59] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:01] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:03] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:04] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:06] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:08] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:09] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:11] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:12] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:14] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:16] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:17] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:19] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:20] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:22] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:23] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:25] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:26] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:29] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:32] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:35] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:38] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:41] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:44] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:48] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:51] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:54] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:11:57] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:00] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:02] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:05] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:08] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:10] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:11] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:13] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:14] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:15] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:16] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:17] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:18] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:19] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:20] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:21] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:21] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:22] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:23] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:24] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:25] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:27] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:29] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:32] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:34] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:36] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:38] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:40] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:42] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:44] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:46] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:47] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:49] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:51] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:52] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:54] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:56] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:57] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:12:59] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:01] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:02] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:04] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:06] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:07] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:09] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:11] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:12] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:13] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:15] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:16] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:18] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:21] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:24] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:27] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:31] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:34] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:37] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:40] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:44] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:47] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:51] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:55] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:13:58] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:01] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:04] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:06] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:08] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:09] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:10] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:12] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:13] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:14] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:16] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:17] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:18] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:19] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:20] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:21] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:23] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:24] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:25] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:27] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:30] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:33] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:36] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:39] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:42] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:44] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:47] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:49] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:52] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:54] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:56] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:14:58] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:00] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:02] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:04] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:06] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:08] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:10] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:12] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:14] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:16] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:19] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:21] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:23] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:24] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:26] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:28] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:30] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:32] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:36] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:40] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:44] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:48] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:52] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:15:56] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:00] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:04] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:08] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:12] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:16] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:19] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:22] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:26] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:29] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:31] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:32] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:33] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:34] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:36] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:37] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:38] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:39] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:40] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:42] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:43] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:44] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:45] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:46] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:47] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:49] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:52] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:54] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:57] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:16:59] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:02] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:04] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:07] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:09] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:11] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:13] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:16] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:18] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:20] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:22] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:24] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:26] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:28] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:30] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:32] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:34] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:36] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:38] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:40] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:42] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:44] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:46] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:48] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:50] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:51] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:55] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:17:59] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:18:03] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:18:07] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:18:11] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:18:15] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:18:19] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:18:23] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:18:28] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:18:33] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:18:37] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:18:41] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:18:46] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:18:50] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:18:54] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:18:56] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:18:57] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:18:59] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:01] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:03] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:05] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:07] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:08] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:10] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:11] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:12] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:14] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:15] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:16] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:17] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:20] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:23] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:26] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:29] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:32] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:34] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:37] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:40] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:42] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:45] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:48] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:50] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:53] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:55] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:19:57] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:00] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:02] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:05] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:07] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:09] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:12] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:14] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:16] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:19] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:21] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:23] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:25] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:27] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:29] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:31] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:36] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:40] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:45] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:49] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:54] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:20:58] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:03] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:07] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:12] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:16] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:20] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:24] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:28] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:31] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:35] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:37] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:38] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:39] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:41] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:42] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:44] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:45] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:46] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:48] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:49] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:50] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:52] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:53] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:54] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:55] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:21:58] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:01] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:04] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:07] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:10] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:13] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:16] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:18] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:21] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:24] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:26] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:29] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:31] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:34] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:37] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:39] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:41] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:44] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:46] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:48] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:51] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:53] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:56] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:22:58] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:23:01] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:23:03] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:23:06] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:23:08] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:23:10] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:23:12] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:23:17] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:23:21] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:23:26] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:23:30] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:23:35] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:23:39] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:23:44] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:23:48] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:23:53] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:23:57] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:24:01] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:24:05] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:24:09] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:24:13] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
[17:24:17] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
Best cv parameters: {'colsample_bytree': 0.5, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 200, 'subsample': 1}
Best score: 0.9270192600813261


xgbmodel = xgb_cv.best_estimator_

# Fit the best algorithm to the data 
xgbmodel.fit(X_train,y_train)

[17:24:19] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.

XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
              colsample_bynode=1, colsample_bytree=0.5,
              enable_categorical=False, gamma=0, gpu_id=-1,
              importance_type=None, interaction_constraints='',
              learning_rate=0.1, max_delta_step=0, max_depth=6,
              min_child_weight=1, missing=nan, monotone_constraints='()',
              n_estimators=200, n_jobs=8, num_parallel_tree=1, predictor='auto',
              random_state=20, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
              seed=20, subsample=1, tree_method='exact', validate_parameters=1,
              verbosity=None)


print('Train score:')
classificationreport_train(xgbmodel)
print('Test score:')
classificationreport_test(xgbmodel)
plotroc(xgbmodel)

Train score:
              precision    recall  f1-score   support

           0       0.91      0.95      0.93     17288
           1       0.81      0.70      0.75      5487

    accuracy                           0.89     22775
   macro avg       0.86      0.82      0.84     22775
weighted avg       0.88      0.89      0.88     22775

Test score:
              precision    recall  f1-score   support

           0       0.89      0.94      0.92      7410
           1       0.78      0.65      0.71      2352

    accuracy                           0.87      9762
   macro avg       0.84      0.80      0.81      9762
weighted avg       0.87      0.87      0.87      9762


from lightgbm import LGBMClassifier


# Train a model using all default parameters in LGBMclassifier
lgb0 = LGBMClassifier(random_state=3)
lgb0.fit(X_train, y_train)
print('Train score:')
classificationreport_train(lgb0)
print('Test score:')
classificationreport_test(lgb0)
plotroc(lgb0)
lgb0.get_params()

Train score:
              precision    recall  f1-score   support

           0       0.91      0.95      0.93     17288
           1       0.81      0.70      0.75      5487

    accuracy                           0.89     22775
   macro avg       0.86      0.82      0.84     22775
weighted avg       0.88      0.89      0.88     22775

Test score:
              precision    recall  f1-score   support

           0       0.89      0.94      0.92      7410
           1       0.77      0.65      0.70      2352

    accuracy                           0.87      9762
   macro avg       0.83      0.79      0.81      9762
weighted avg       0.86      0.87      0.86      9762

{'boosting_type': 'gbdt',
 'class_weight': None,
 'colsample_bytree': 1.0,
 'importance_type': 'split',
 'learning_rate': 0.1,
 'max_depth': -1,
 'min_child_samples': 20,
 'min_child_weight': 0.001,
 'min_split_gain': 0.0,
 'n_estimators': 100,
 'n_jobs': -1,
 'num_leaves': 31,
 'objective': None,
 'random_state': 3,
 'reg_alpha': 0.0,
 'reg_lambda': 0.0,
 'silent': 'warn',
 'subsample': 1.0,
 'subsample_for_bin': 200000,
 'subsample_freq': 0}


# Train a model using other parameters

lgb1 = LGBMClassifier(max_depth=6, min_data_in_leaf=100, n_estimators=500, learning_rate=0.05, 
                      num_leaves=50, objective='binary', max_bin=255, lambda_l1=0, lambda_l2=0, random_state=3)
lgb1.fit(X_train, y_train)
print('Train score:')
classificationreport_train(lgb1)
print('Test score:')
classificationreport_test(lgb1)
plotroc(lgb1)
lgb1.get_params()

[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
Train score:
              precision    recall  f1-score   support

           0       0.91      0.95      0.93     17288
           1       0.80      0.69      0.74      5487

    accuracy                           0.88     22775
   macro avg       0.85      0.82      0.83     22775
weighted avg       0.88      0.88      0.88     22775

Test score:
              precision    recall  f1-score   support

           0       0.89      0.94      0.92      7410
           1       0.77      0.65      0.71      2352

    accuracy                           0.87      9762
   macro avg       0.83      0.79      0.81      9762
weighted avg       0.86      0.87      0.86      9762

{'boosting_type': 'gbdt',
 'class_weight': None,
 'colsample_bytree': 1.0,
 'importance_type': 'split',
 'learning_rate': 0.05,
 'max_depth': 6,
 'min_child_samples': 20,
 'min_child_weight': 0.001,
 'min_split_gain': 0.0,
 'n_estimators': 500,
 'n_jobs': -1,
 'num_leaves': 50,
 'objective': 'binary',
 'random_state': 3,
 'reg_alpha': 0.0,
 'reg_lambda': 0.0,
 'silent': 'warn',
 'subsample': 1.0,
 'subsample_for_bin': 200000,
 'subsample_freq': 0,
 'min_data_in_leaf': 100,
 'max_bin': 255,
 'lambda_l1': 0,
 'lambda_l2': 0}


params = {'max_depth': [6,8,10],
         'min_data_in_leaf': [100,500,1000],
          'feature_fraction': [0.5,0.8,1],
         'n_estimators':[50,100,200],
         'learning_rate': [0.1,0.2,0.3]}

lgbm = LGBMClassifier(num_leaves=600, objective='binary', max_bin=255, lambda_l1=0, lambda_l2=0)
lgbm_cv = GridSearchCV(estimator=lgbm, param_grid=params, scoring='roc_auc', cv=5)
#lgbm_cv = RandomizedSearchCV(estimator=lgbm, param_distributions=params, scoring='roc_auc', cv=5, n_iter=50, n_jobs=-1, random_state=3) 
lgbm_cv.fit(X_train, y_train)

# Print the best parameters and score
print("Best cv parameters: {}".format(lgbm_cv.best_params_)) 
print("Best score: {}".format(lgbm_cv.best_score_))

[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.8, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=500, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=500
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=1, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=1
[LightGBM] [Warning] min_data_in_leaf is set=1000, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=1000
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] min_data_in_leaf is set=100, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=100
[LightGBM] [Warning] lambda_l1 is set=0, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0
[LightGBM] [Warning] lambda_l2 is set=0, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0
Best cv parameters: {'feature_fraction': 0.5, 'learning_rate': 0.1, 'max_depth': 6, 'min_data_in_leaf': 100, 'n_estimators': 200}
Best score: 0.9268007175494757


lgbmmodel = lgbm_cv.best_estimator_

# Fit the best algorithm to the data 
lgbmmodel.fit(X_train,y_train)

LGBMClassifier(feature_fraction=0.5, lambda_l1=0, lambda_l2=0, max_bin=255,
               max_depth=6, min_data_in_leaf=100, n_estimators=200,
               num_leaves=600, objective='binary')


print('Train score:')
classificationreport_train(lgbmmodel)
print('Test score:')
classificationreport_test(lgbmmodel)
plotroc(lgbmmodel)
lgbmmodel.get_params()

Train score:
              precision    recall  f1-score   support

           0       0.90      0.95      0.92     17288
           1       0.80      0.67      0.73      5487

    accuracy                           0.88     22775
   macro avg       0.85      0.81      0.83     22775
weighted avg       0.88      0.88      0.88     22775

Test score:
              precision    recall  f1-score   support

           0       0.89      0.94      0.92      7410
           1       0.78      0.65      0.71      2352

    accuracy                           0.87      9762
   macro avg       0.84      0.79      0.81      9762
weighted avg       0.87      0.87      0.87      9762

{'boosting_type': 'gbdt',
 'class_weight': None,
 'colsample_bytree': 1.0,
 'importance_type': 'split',
 'learning_rate': 0.1,
 'max_depth': 6,
 'min_child_samples': 20,
 'min_child_weight': 0.001,
 'min_split_gain': 0.0,
 'n_estimators': 200,
 'n_jobs': -1,
 'num_leaves': 600,
 'objective': 'binary',
 'random_state': None,
 'reg_alpha': 0.0,
 'reg_lambda': 0.0,
 'silent': 'warn',
 'subsample': 1.0,
 'subsample_for_bin': 200000,
 'subsample_freq': 0,
 'max_bin': 255,
 'lambda_l1': 0,
 'lambda_l2': 0,
 'feature_fraction': 0.5,
 'min_data_in_leaf': 100}


import eli5
from eli5.sklearn import PermutationImportance


base_features = X_train.columns.to_list()
base_features

['Age',
 'Education-num',
 'Capital-gain',
 'Capital-loss',
 'Hours-per-week',
 'Work-class_Federal-gov',
 'Work-class_Local or State gov',
 'Work-class_Others',
 'Work-class_Private',
 'Work-class_Self-emp-inc',
 'Work-class_Self-emp-not-inc',
 'Marital-status_Divorced',
 'Marital-status_Married-civ-spouse',
 'Marital-status_Never-married',
 'Marital-status_Others',
 'Marital-status_Separated',
 'Occupation_Adm-clerical',
 'Occupation_Craft-repair',
 'Occupation_Exec-managerial',
 'Occupation_Farming-fishing',
 'Occupation_Handlers-cleaners',
 'Occupation_Machine-op-inspct',
 'Occupation_Other-service',
 'Occupation_Others',
 'Occupation_Prof-specialty',
 'Occupation_Protective-serv',
 'Occupation_Sales',
 'Occupation_Tech-support',
 'Occupation_Transport-moving',
 'Relationship_Husband',
 'Relationship_Not-in-family',
 'Relationship_Other-relative',
 'Relationship_Own-child',
 'Relationship_Unmarried',
 'Relationship_Wife',
 'Race_Black',
 'Race_Others',
 'Race_White',
 'Sex_Female',
 'Sex_Male',
 'Native-country_Others',
 'Native-country_United-States']


perm = PermutationImportance(lgbmmodel, random_state=1).fit(X_test, y_test)

# Store Permutaion feature importance details in the dataframe for further analysis
perm_df = pd.DataFrame()
perm_df["feature"] = base_features
perm_df["importance"] = perm.feature_importances_

# Store LightGBM feature importance details in the dataframe for further analysis
lgbm_feature_importance_df = pd.DataFrame()
lgbm_feature_importance_df["feature"] = base_features
lgbm_feature_importance_df["importance"] = lgbmmodel.feature_importances_

# plot PFI chart
fig, axes = plt.subplots(2, 1, figsize=(7,14))
plt.rcParams.update({'font.size': 12})

#Permutation Feature Importance
perm_feature_importance_df  = perm_df.sort_values('importance', ascending=False).reset_index()
sns.barplot(x ='importance', y ='feature', data= perm_feature_importance_df[:20], ax=axes[0], palette='nipy_spectral_r')
axes[0].set_title("Permutation Feature Importance", fontsize=14)

#LightGBM Default Feature Importance
#When using a tree-ensemble like random forest you can find out which features the model found valuable by checking the feature importances. 
#In scikit-learn the feature importances are a reflection of how well a feature reduces some criterion like mean squared error for regression problem or gini / entropy for classification problem. 
#This method for calculating feature importance is typically called mean decrease impurity.
feature_importance_df  = lgbm_feature_importance_df.sort_values('importance', ascending=False).reset_index()
sns.barplot(x ='importance', y ='feature', data= feature_importance_df[:20], ax=axes[1], palette='nipy_spectral_r')
axes[1].set_title("LightGBM Feature Importance", fontsize=14)

# uncomment the following line to visualize your results
eli5.show_weights(perm, feature_names = X_train.columns.tolist())


from sklearn.inspection import permutation_importance

plt.rcParams["figure.figsize"] = (15,15)
result = permutation_importance(lgbmmodel, X_test, y_test, n_repeats=10, random_state=42, n_jobs=2)
sorted_idx = result.importances_mean.argsort()

fig, ax = plt.subplots()
ax.boxplot(result.importances[sorted_idx].T, vert=False, labels=X_test.columns[sorted_idx])
ax.set_title("Permutation Importances (test set)")
fig.tight_layout()
plt.show()


plt.rcParams["figure.figsize"] = (15,15)
result = permutation_importance(lgbmmodel, X_train, y_train, n_repeats=10, random_state=42, n_jobs=2)
sorted_idx = result.importances_mean.argsort()

fig, ax = plt.subplots()
ax.boxplot(result.importances[sorted_idx].T, vert=False, labels=X_test.columns[sorted_idx])
ax.set_title("Permutation Importances (test set)")
fig.tight_layout()
plt.show()


import shap
explainer = shap.TreeExplainer(lgbmmodel, X_test)
shap_values = explainer(X_test)

 99%|===================| 9672/9762 [00:52<00:00]


shap.summary_plot(shap_values, X_test, max_display=20, show=False)
plt.gcf().axes[-1].set_aspect(60)
plt.gcf().axes[-1].set_box_aspect(60)


y_test[0:20]

6777     0
18150    0
6246     0
20207    0
21381    0
5470     0
8893     0
6061     0
2067     0
27920    0
21587    1
8012     0
4704     1
27661    0
15016    0
31139    1
20866    0
14829    0
25974    0
5526     0
Name: Income, dtype: int64


y_test.iloc[[15]]

31139    1
Name: Income, dtype: int64


X_test.iloc[[15]]


# probability of specific data row
lgbmmodel.predict_proba(X_test.iloc[15].values.reshape(1, -1))

array([[0.05147211, 0.94852789]])


shap.plots.bar(shap_values[15])


X_test.iloc[[16]]


# probability of specific data row
lgbmmodel.predict_proba(X_test.iloc[16].values.reshape(1, -1))

array([[0.97502798, 0.02497202]])


shap.plots.bar(shap_values[16])


from sklearn.inspection import PartialDependenceDisplay


# Select the features to display ICE plot
features_pdp = ['Age','Age', 'Education-num', 'Hours-per-week','Capital-gain', 'Capital-loss']


fig, ax = plt.subplots(figsize=(20, 14))
PartialDependenceDisplay.from_estimator(lgbmmodel, X_train, features_pdp, kind='average',
                                        pd_line_kw={"color": "tab:red", "linestyle": "--"}, ax=ax)

<sklearn.inspection._plot.partial_dependence.PartialDependenceDisplay at 0x17d2bfc0580>


plt.rcParams["figure.figsize"] = (6,4)
PartialDependenceDisplay.from_estimator(lgbmmodel, X_train, ['Age'], kind='average',
                                        pd_line_kw={"color": "tab:red", "linestyle": "--"})

<sklearn.inspection._plot.partial_dependence.PartialDependenceDisplay at 0x17d2bfc05b0>


PartialDependenceDisplay.from_estimator(lgbmmodel, X_train, ['Education-num'], kind='average',
                                        pd_line_kw={"color": "tab:red", "linestyle": "--"})

<sklearn.inspection._plot.partial_dependence.PartialDependenceDisplay at 0x17d2d17d1c0>


PartialDependenceDisplay.from_estimator(lgbmmodel, X_train, ['Hours-per-week'], kind='average',
                                        pd_line_kw={"color": "tab:red", "linestyle": "--"})

<sklearn.inspection._plot.partial_dependence.PartialDependenceDisplay at 0x17d2be7d280>


PartialDependenceDisplay.from_estimator(lgbmmodel, X_train, ['Capital-gain'], kind='average',
                                        pd_line_kw={"color": "tab:red", "linestyle": "--"})

<sklearn.inspection._plot.partial_dependence.PartialDependenceDisplay at 0x17d3134d280>


import lime
import lime.lime_tabular


y_test.head(20)

6777     0
18150    0
6246     0
20207    0
21381    0
5470     0
8893     0
6061     0
2067     0
27920    0
21587    1
8012     0
4704     1
27661    0
15016    0
31139    1
20866    0
14829    0
25974    0
5526     0
Name: Income, dtype: int64


y_test.loc[[31139]]

31139    1
Name: Income, dtype: int64


X_test.loc[[31139]]


predict_fn_lgbm = lambda x: lgbmmodel.predict_proba(x).astype(float)
X = X_train.values
explainer = lime.lime_tabular.LimeTabularExplainer(X, feature_names = X_train.columns, class_names=['Income<=50K', 'Income>50K'])


choosen_instance = X_test.loc[[31139]].values[0]
exp = explainer.explain_instance(choosen_instance, predict_fn_lgbm,num_features=15)
exp.show_in_notebook(show_all=False)


choosen_instance = X_test.loc[[20866]].values[0]
exp = explainer.explain_instance(choosen_instance, predict_fn_lgbm,num_features=15)
exp.show_in_notebook(show_all=False)


# sample ID 20866 (income = 0) - listing out the feature value for reference
X_test.iloc[16]

Age                                  27.000000
Education-num                        10.000000
Capital-gain                         -0.230815
Capital-loss                         -0.216743
Hours-per-week                       40.000000
Work-class_Federal-gov                0.000000
Work-class_Local or State gov         0.000000
Work-class_Others                     0.000000
Work-class_Private                    1.000000
Work-class_Self-emp-inc               0.000000
Work-class_Self-emp-not-inc           0.000000
Marital-status_Divorced               0.000000
Marital-status_Married-civ-spouse     0.000000
Marital-status_Never-married          1.000000
Marital-status_Others                 0.000000
Marital-status_Separated              0.000000
Occupation_Adm-clerical               0.000000
Occupation_Craft-repair               0.000000
Occupation_Exec-managerial            0.000000
Occupation_Farming-fishing            0.000000
Occupation_Handlers-cleaners          0.000000
Occupation_Machine-op-inspct          0.000000
Occupation_Other-service              0.000000
Occupation_Others                     0.000000
Occupation_Prof-specialty             0.000000
Occupation_Protective-serv            0.000000
Occupation_Sales                      1.000000
Occupation_Tech-support               0.000000
Occupation_Transport-moving           0.000000
Relationship_Husband                  0.000000
Relationship_Not-in-family            1.000000
Relationship_Other-relative           0.000000
Relationship_Own-child                0.000000
Relationship_Unmarried                0.000000
Relationship_Wife                     0.000000
Race_Black                            0.000000
Race_Others                           0.000000
Race_White                            1.000000
Sex_Female                            0.000000
Sex_Male                              1.000000
Native-country_Others                 0.000000
Native-country_United-States          1.000000
Name: 20866, dtype: float64


# sample ID 31139 (income = 1) - listing out the feature value for reference
X_test.iloc[15]

Age                                  27.000000
Education-num                        13.000000
Capital-gain                         -0.230815
Capital-loss                          4.367777
Hours-per-week                       55.000000
Work-class_Federal-gov                0.000000
Work-class_Local or State gov         0.000000
Work-class_Others                     0.000000
Work-class_Private                    1.000000
Work-class_Self-emp-inc               0.000000
Work-class_Self-emp-not-inc           0.000000
Marital-status_Divorced               0.000000
Marital-status_Married-civ-spouse     1.000000
Marital-status_Never-married          0.000000
Marital-status_Others                 0.000000
Marital-status_Separated              0.000000
Occupation_Adm-clerical               0.000000
Occupation_Craft-repair               0.000000
Occupation_Exec-managerial            0.000000
Occupation_Farming-fishing            0.000000
Occupation_Handlers-cleaners          0.000000
Occupation_Machine-op-inspct          0.000000
Occupation_Other-service              0.000000
Occupation_Others                     0.000000
Occupation_Prof-specialty             0.000000
Occupation_Protective-serv            0.000000
Occupation_Sales                      1.000000
Occupation_Tech-support               0.000000
Occupation_Transport-moving           0.000000
Relationship_Husband                  1.000000
Relationship_Not-in-family            0.000000
Relationship_Other-relative           0.000000
Relationship_Own-child                0.000000
Relationship_Unmarried                0.000000
Relationship_Wife                     0.000000
Race_Black                            0.000000
Race_Others                           0.000000
Race_White                            1.000000
Sex_Female                            0.000000
Sex_Male                              1.000000
Native-country_Others                 0.000000
Native-country_United-States          1.000000
Name: 31139, dtype: float64

	count	mean	std	min	25%	50%	75%	max
Age	32537.0	38.585549	13.637984	17.0	28.0	37.0	48.0	90.0
fnlwgt	32537.0	189780.848511	105556.471009	12285.0	117827.0	178356.0	236993.0	1484705.0
Education-num	32537.0	10.081815	2.571633	1.0	9.0	10.0	12.0	16.0
Capital-gain	32537.0	1078.443741	7387.957424	0.0	0.0	0.0	0.0	99999.0
Capital-loss	32537.0	87.368227	403.101833	0.0	0.0	0.0	0.0	4356.0
Hours-per-week	32537.0	40.440329	12.346889	1.0	40.0	40.0	45.0	99.0
Income	32537.0	0.240926	0.427652	0.0	0.0	0.0	0.0	1.0

	count	mean	std	min	25%	50%	75%	max
Age	24698.0	36.787392	14.017335	17.0	25.0	34.0	46.00	90.0
fnlwgt	24698.0	190345.926796	106487.413197	12285.0	117606.0	179465.0	238968.25	1484705.0
Education-num	24698.0	9.596081	2.434654	1.0	9.0	9.0	10.00	16.0
Capital-gain	24698.0	148.884970	963.557955	0.0	0.0	0.0	0.00	41310.0
Capital-loss	24698.0	53.190258	310.890099	0.0	0.0	0.0	0.00	4356.0
Hours-per-week	24698.0	38.842862	12.318286	1.0	35.0	40.0	40.00	99.0
Income	24698.0	0.000000	0.000000	0.0	0.0	0.0	0.00	0.0

	count	mean	std	min	25%	50%	75%	max
Age	7839.0	44.250925	10.520102	19.0	36.0	44.0	51.0	90.0
fnlwgt	7839.0	188000.480674	102554.464101	14878.0	119100.0	176063.0	230969.0	1226583.0
Education-num	7839.0	11.612195	2.385181	2.0	10.0	12.0	13.0	16.0
Capital-gain	7839.0	4007.164562	14572.097223	0.0	0.0	0.0	0.0	99999.0
Capital-loss	7839.0	195.051282	595.555395	0.0	0.0	0.0	0.0	3683.0
Hours-per-week	7839.0	45.473402	11.014165	1.0	40.0	40.0	50.0	99.0
Income	7839.0	1.000000	0.000000	1.0	1.0	1.0	1.0	1.0

Weight	Feature
0.0423 ± 0.0031	Capital-gain
0.0273 ± 0.0052	Education-num
0.0188 ± 0.0028	Age
0.0177 ± 0.0017	Marital-status_Married-civ-spouse
0.0130 ± 0.0016	Capital-loss
0.0094 ± 0.0014	Hours-per-week
0.0058 ± 0.0017	Occupation_Exec-managerial
0.0055 ± 0.0010	Relationship_Wife
0.0033 ± 0.0016	Occupation_Prof-specialty
0.0025 ± 0.0009	Work-class_Self-emp-not-inc
0.0023 ± 0.0024	Relationship_Husband
0.0019 ± 0.0008	Occupation_Farming-fishing
0.0016 ± 0.0011	Occupation_Sales
0.0015 ± 0.0005	Occupation_Tech-support
0.0014 ± 0.0010	Sex_Female
0.0013 ± 0.0017	Relationship_Own-child
0.0012 ± 0.0018	Marital-status_Never-married
0.0011 ± 0.0009	Occupation_Machine-op-inspct
0.0009 ± 0.0002	Occupation_Protective-serv
0.0009 ± 0.0011	Sex_Male
… 22 more …

Feel free to see accompanied PowerPoint slides for explanations.¶

1. Load data¶

Check and remove duplicate rows¶

Check missing values¶

2. Exploratory Data Analysis¶

2.1 Numerical features - univariate analysis¶

2.2 Numerical features - bivariate analysis with income¶

2.3 Numerical features - multivariate analysis¶

2.4 Categorical features - univariate analysis¶

2.5 Categorical features - bivariate analysis with income¶

Plot education in ascending edu level order for better display¶

2.6 Other bivariate analysis¶

3. Data pre-processing and feature engineering¶

3.1 Drop features¶

3.2 Treat outliers¶

3.3 Standardization¶

3.4 One-hot encoding¶

3.5 Handling imbalanced dataset¶

4. Model Building¶

4.1 Logistic Regression¶

4.2 Decision Tree¶

4.3 Random Forest¶

4.4 XGBoost¶

With all default parameters of XGBClassifier()¶

With hyperparameters tuning¶

4.5 Light GBM¶

With all default parameters of LGBMClassifier()¶

With hyperparameters tuning¶

5. Explainable AI¶

5.1 Permutation Feature Importance¶

5.2 SHAP plots¶

Global explanation¶

Local explanation¶

5.3 Partial Dependence Plots (global explanation)¶

5.4 Lime plots (local explanation)¶

	Age	Work-class	fnlwgt	Education	Education-num	Marital-status	Occupation	Relationship	Race	Sex	Capital-gain	Hours-per-week	Native-country	Income
0	39	State-gov	77516	Bachelors	13	Never-married	Adm-clerical	Not-in-family	White	Male	2174	40	United-States	<=50K
1	50	Self-emp-not-inc	83311	Bachelors	13	Married-civ-spouse	Exec-managerial	Husband	White	Male	0	13	United-States	<=50K
2	38	Private	215646	HS-grad	9	Divorced	Handlers-cleaners	Not-in-family	White	Male	0	40	United-States	<=50K
3	53	Private	234721	11th	7	Married-civ-spouse	Handlers-cleaners	Husband	Black	Male	0	40	United-States	<=50K
4	28	Private	338409	Bachelors	13	Married-civ-spouse	Prof-specialty	Wife	Black	Female	0	40	Cuba	<=50K

	coef
Relationship_Wife	1.584052
Marital-status_Married-civ-spouse	1.276334
Capital-gain	0.782277
Occupation_Exec-managerial	0.764020
Occupation_Protective-serv	0.745061
Occupation_Tech-support	0.714902
Occupation_Prof-specialty	0.681237
Work-class_Federal-gov	0.518242
Sex_Male	0.389392
Education-num	0.288723
Relationship_Husband	0.283599
Occupation_Sales	0.277416
Capital-loss	0.252702
Work-class_Self-emp-inc	0.233571
Occupation_Craft-repair	0.119831
Native-country_United-States	0.093775
Relationship_Not-in-family	0.074997
Occupation_Adm-clerical	0.062835
Hours-per-week	0.034641
Age	0.029890
Race_White	0.022105
Race_Others	0.018350
Work-class_Private	0.007044
Marital-status_Others	-0.015018
Race_Black	-0.065415
Relationship_Unmarried	-0.066938
Work-class_Others	-0.070435
Native-country_Others	-0.118735
Occupation_Transport-moving	-0.152652
Marital-status_Divorced	-0.183313
Occupation_Machine-op-inspct	-0.219225
Work-class_Local or State gov	-0.354468
Work-class_Self-emp-not-inc	-0.358912
Sex_Female	-0.414352
Marital-status_Separated	-0.435386
Occupation_Handlers-cleaners	-0.549602
Occupation_Others	-0.628577
Marital-status_Never-married	-0.667577
Occupation_Other-service	-0.801371
Relationship_Other-relative	-0.880777
Relationship_Own-child	-1.019892
Occupation_Farming-fishing	-1.038833